Details

Autor(en) / Beteiligte

• Soubeyrand, Samuel
• Ribaud, Mélina
• Baudrot, Virgile
• Allard, Denis
• Pommeret, Denys
• Roques, Lionel
• Smith, Rebecca Lee

Titel

COVID-19 mortality dynamics: The future modelled as a (mixture of) past(s)

Ist Teil von

• PloS one, 2020-09, Vol.15 (9), p.e0238410-e0238410

Ort / Verlag

United States: Public Library of Science

Erscheinungsjahr

2020

Quelle

MEDLINE

Beschreibungen/Notizen

• Discrepancies in population structures, decision making, health systems and numerous other factors result in various COVID-19-mortality dynamics at country scale, and make the forecast of deaths in a country under focus challenging. However, mortality dynamics of countries that are ahead of time implicitly include these factors and can be used as real-life competing predicting models. We precisely propose such a data-driven approach implemented in a publicly available web app timely providing mortality curves comparisons and real-time short-term forecasts for about 100 countries. Here, the approach is applied to compare the mortality trajectories of second-line and front-line European countries facing the COVID-19 epidemic wave. Using data up to mid-April, we show that the second-line countries generally followed relatively mild mortality curves rather than fast and severe ones. Thus, the continuation, after mid-April, of the COVID-19 wave across Europe was likely to be mitigated and not as strong as it was in most of the front-line countries first impacted by the wave (this prediction is corroborated by posterior data).